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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-17 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 467·
 2012 03 430.
 2012 02 80.
 2012 01 90·
 2011 12  332.
 2011 11  721·
 2011 10  211.
 2011 09  11.
 2011 08  187·
 2011 07  326·
 2011 06  65
 2011 05  230.
 2011 04  500.
 2011 03  34·
 2011 02  554.
 2011 01  204·
 2010 12 64.
 2010 11 92
 2010 10 27
 2010 09 590.
 2010 08 860.
 2010 07 311.
 2010 06 460.
 2010 05 363·
 2010 04 154·
 2010 03 763·
 2010 02 981.
 2010 01 701·
 2009 12  43
 2009 11  90·
 2009 10  960·
 2009 09  40·
 2009 08  474·
 2009 07  36
 2009 06  80
 2009 05  74·
 2009 01  25
 2008 07 908.
 2008 06 10
 2008 05 759.
 2008 04 511.
 2008 03 267·
 2008 01 764·
 2007 08  262·
 2007 07  3516·
 2007 06  2710·
 2007 05  901·
 2007 04  45.
 2007 03  929·
 2007 02  997.
 2007 01  909.
 2006 12 786·
 2006 11 76
 2006 10 740.
 2006 09 390.
 2006 08 433·
 2006 07 128·
 2006 06 86.
 2006 05 253·
 2006 04 171·
 2006 02 513.
 2006 01 840·
 2005 11  614·
 2005 08  451.
 2005 07  686.
 2005 06  74·
 2005 05  841.
 2005 04  966.
 2005 03  636.
 2005 02  914.
 2005 01  584.
 2004 12 644.
 2004 10 632.
 2004 09 472·
 2004 07 708·
 2004 06 6811·
 2004 05 1613·
 2004 04 37.
 2004 03 339.
 2004 02 522·
 2004 01 992.
 2003 12  832.
 2003 11  863.
 2003 10  864.
 2003 09  124·
 2003 08  1913·
 2003 07  914.
 2003 06  634·
 2003 05  805·
 2003 04  683.
 2003 03  351.
 2003 02  35.
 2003 01  554.
 2002 12 115·
 2002 11 337.
 2002 10 50
 2002 09 102·
 2002 08 545.
 2002 07 217·
 2002 06 732·
 2002 03 47
 2001 10  306·
 2001 09  63
 2001 08  673.
 2001 07  916.
 2001 06  959·
 2001 04  472.
 2001 03  493·
 2001 02  922.
 2000 11 31
 2000 10 85
 2000 09 656.
 2000 08 26
 2000 06 442.
 2000 05 156.
 2000 04 838·
 2000 03 942·
 2000 02 667·
 2000 01 06·
 1999 11  982·
 1999 10  193.
 1999 08  546.
 1999 07  298·
 1999 06  29
 1999 05  543·
 1999 04  893.
 1999 03  146.
 1999 02  206·
 1999 01  734.
 1998 11 794·
 1998 10 925·
 1998 09 41
 1998 08 764·
 1998 07 539·
 1998 06 2712·
 1998 05 845.
 1998 04 906.
 1998 03 701·
 1998 02 71.
 1998 01 70
 1997 12  644·
 1997 11  111.
 1997 10  441.
 1997 09  4211.
 1997 08  7511.
 1997 07  8219.
 1997 06  7712·
 1997 05  707.
 1997 04  215.
 1997 03  163.
 1997 02  684.
 1997 01  482.
 1996 11 295.
 1996 10 689·
 1996 09 67.
 1996 08 958.
 1996 07 499.
 1996 06 2013·
 1996 05 213·
 1996 04 5512·
 1996 03 563·
 1996 02 808·
 1996 01 962·
 1995 12  973.
 1995 11  523·
 1995 10  785·
 1995 09  498·
 1995 08  168.
 1995 07  605·
 1995 06  7214.
 1995 05  509·
 1995 04  3010.
 1995 03  32
 1995 02  431.
 1995 01  121·
 1994 12 845·
 1994 11 436·
 1994 10 973.
 1994 09 731.
 1994 08 477.
 1994 07 948.
 1994 06 675·
 1994 05 952·
 1994 04 122.
 1994 03 91·
 1993 12  83.
 1993 11  666.
 1993 10  04.
 1993 09  406.
 1993 08  316.
 1993 07  9910·
 1993 06  549.
 1993 05  604·
 1993 04  589.
 1993 03  335.
 1993 02  438·
 1993 01  722·
 1992 12 58.
 1992 11 304·
 1992 10 621.
 1992 08 14·
 1992 07 14.
 1992 06 7712.
 1992 05 304·
 1992 04 965.
 1992 03 273.
 1992 02 884.
 1992 01 904.
 1991 12  336.
 1991 11  891·
 1991 10  2
 1991 08  122·
 1991 07  123·
 1991 06  20
 1991 05  795.
 1991 04  915.
 1991 03  602.
 1991 02  753.
 1991 01  93.
 1990 12 444.
 1990 11 267.
 1990 10 386.
 1990 09 56.
 1990 08 179·
 1990 07 8511·
 1990 06 146.
 1990 05 35·
 1990 04 799·
 1990 03 396.
 1990 02 342.
 1990 01 681·
 1989 12  23
 1989 11  127.
 1989 10  578·
 1989 09  87
 1989 08  698.
 1989 07  559·
 1989 06  62
 1989 05  735·
 1989 04  619.
 1989 03  432·
 1989 02  589·
 1989 01  635·
 1988 12 686.
 1988 11 777·
 1988 10 758·
 1988 09 226.
 1988 08 8417·
 1988 07 821.
 1988 06 7015.
 1988 05 362.
 1988 04 286.
 1988 02 82.
 1988 01 2510.
 1987 12  182·
 1987 11  457.
 1987 10  315·
 1987 09  464·
 1987 08  718·
 1987 07  411.
 1987 06  516·
 1987 05  653.
 1987 04  653.
 1987 03  988·
 1987 02  943·
 1987 01  397.
 1986 12 80
 1986 11 475·
 1986 10 109.
 1986 09 507·
 1986 08 6516·
 1986 07 9617.
 1986 06 749.
 1986 05 31·
 1986 04 595·
 1986 03 122.
 1986 02 872.
 1986 01 324.
 1985 12  234.
 1985 11  919.
 1985 10  744·
 1985 09  914·
 1985 08  4523.
 1985 07  5119.
 1985 06  8611.
 1985 05  638.
 1985 04  4011.
 1985 03  378.
 1985 02  9715·
 1985 01  5511.
 1984 12 4414·
 1984 11 1812·
 1984 10 910.
 1984 09 988·
 1984 08 2017·
 1984 07 8828·
 1984 06 4732.
 1984 05 4916·
 1984 04 5610·
 1984 03 6518.
 1984 02 607.
 1984 01 909.
 1983 12  665.
 1983 11  95
 1983 10  2613.
 1983 09  26
 1983 08  8726.
 1983 07  4622·
 1983 06  4322.
 1983 05  9019.
 1983 04  8212.
 1983 03  1320.
 1983 02  3714·
 1983 01  399·
 1982 12 3812·
 1982 11 148·
 1982 10 598.
 1982 09 548·
 1982 08 6937·
 1982 07 9434·
 1982 06 8436.
 1982 05 4121·
 1982 04 1324·
 1982 03 2211.
 1982 02 136.
 1982 01 334·
 1981 12  334.
 1981 11  929·
 1981 10  7011·
 1981 09  8614·
 1981 08  1616.
 1981 07  2326·
 1981 06  723.
 1981 05  8111·
 1981 04  7517·
 1981 03  5918.
 1981 02  9811·
 1981 01  2618·
 1980 12 4822·
 1980 11 7018·
 1980 10 4422.
 1980 09 5117.
 1980 08 9919·
 1980 07 4929·
 1980 06 7122·
 1980 05 1414.
 1980 04 149.
 1980 03 169.
 1980 02 2810.
 1980 01 968.
 1979 12  810.
 1979 11  1515·
 1979 10  9210.
 1979 09  420.
 1979 08  1723.
 1979 07  1540·
 1979 06  6236·
 1979 05  7022·
 1979 04  426.
 1979 03  1015·
 1979 02  6417·
 1979 01  4912.
 1978 12 589·
 1978 11 2014·
 1978 10 4912.
 1978 09 2510·
 1978 08 9235·
 1978 07 8835·
 1978 06 9123·
 1978 05 225.
 1978 04 4317·
 1978 03 8323·
 1978 02 9117·
 1978 01 1411.
 1977 12  7411·
 1977 11  012.
 1977 10  7514·
 1977 09  1611·
 1977 08  7421·
 1977 07  5832·
 1977 06  9325.
 1977 05  9118·
 1977 04  5418·
 1977 03  115·
 1977 02  2017·
 1977 01  4412.
 1976 12 5312.
 1976 11 9811·
 1976 10 5723.
 1976 09 918.
 1976 08 3437·
 1976 07 4327.
 1976 06 2931.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-17 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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